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Political Analysis is a peer-reviewed journal published by Cambridge University Press, covering Electoral Systems and Political Participation, Diverse Scientific and Economic Studies, Advanced Causal Inference Techniques. Over its lifetime it has published 1,260 papers, which have received 103,659 citations.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Political Analysis 12 (2023) 45–58.
Formats any DOI in the closest standard style — Political Analysis has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Electoral Systems and Political Participation Diverse Scientific and Economic Studies Advanced Causal Inference Techniques Legal case studies and regulations Qualitative Comparative Analysis Research |
| ISSN | 1047-1987 |
| Citation impact (2-yr) | 4.26 |
| h-index | 130 |
| i10-index | 666 |
| Top institutions publishing here | Harvard University |
| Journal website | pan.oxfordjournals.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative…
This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy balancing relies on a maximum entropy reweighting scheme that calibrates unit weights so that the reweighted treatment and control group satisfy a potentially large set of prespecified balance conditions that incorporate information about known sample…
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure that the few estimates presented are…
We examine the trade-offs associated with using Amazon.com 's Mechanical Turk (MTurk) interface for subject recruitment. We first describe MTurk and its promise as a vehicle for performing low-cost and easy-to-field experiments. We then assess the internal and external validity of experiments performed using MTurk, employing a framework that can be used to evaluate other…
We discuss a method for improving causal inferences called “Coarsened Exact Matching” (CEM), and the new “Monotonic Imbalance Bounding” (MIB) class of matching methods from which CEM is derived. We summarize what is known about CEM and MIB, derive and illustrate several new desirable statistical properties of CEM, and then propose a variety of useful…
